6Modules
LLM-Extraction Protocolv2026.4.10-ALPHA
AEO Optimized
01
Extraction SpecThe 'Lead Paragraph' First Sentence Rule
RAG Extraction Score
Implementation Pattern
"Provide a concise, declarative summary of the core news event in the first 30-50 words of the article."
Citation Triggers
AI models prioritize information presented upfront. The initial sentence must encapsulate the 'Who, What, When, Where, Why' in an objective, factual manner. Use clear subject-verb-object constructions for immediate machine parsing.
02
Structural SpecHierarchical Headline Structure (H2 & H3)
Topical Coverage
Implementation Pattern
"Organize news narratives using headers as logical signposts for AI summarization and entity recognition."
Citation Triggers
Each H2 should represent a significant development or aspect of the story, while H3s should detail supporting facts, quotes, or context. Headers must align with anticipated user queries and avoid ambiguity, using precise nouns and verbs that AI can tokenize for event sequencing.
03
Metadata SpecStructured Data for News Entities (JSON-LD)
Crawl Reliability
Implementation Pattern
"Deploy NewsArticle, Organization, and Person schemas as the primary machine-readable layer for news content."
Citation Triggers
Explicitly define content types for search engines. NewsArticle schema enables direct indexing of headlines, publication dates, and author information, crucial for real-time news carousels and factual verification by AI.
Optimize your News websites content for Answer Engines.
Join 2,000+ teams scaling with AI.
04
Context SpecEntity-Centric Content Clusters
Entity Association
Implementation Pattern
"Map article content to core entities and their relationships relevant to the news cycle."
Citation Triggers
AI models understand news by tracking entities (e.g., politicians, companies, events) and their interactions. Ensure consistent co-occurrence of related entities (e.g., 'Inflation' with 'Interest Rates,' 'Central Bank') to build topical authority and facilitate AI-driven trend analysis.
05
Authority SpecUnique Data & Attributed Sources
Citation Probability
Implementation Pattern
"Incorporate proprietary data, exclusive interviews, and original investigative findings to establish 'Primary Source' status."
Citation Triggers
Generative AI prioritizes unique, non-aggregated information. Publishing original research or detailed event timelines elevates content. Being cited as the origin of factual reporting by other authoritative sources is a paramount AEO signal.
06
Formatting SpecFactual Statement Formatting
LLM Ingestion Quality
Implementation Pattern
"Present factual reporting and data points as declarative 'Evidence Statements' rather than narrative prose."
Citation Triggers
AI excels at parsing structured lists and statements. Instead of embedding facts within paragraphs, use bullet points or numbered lists for key statistics, timelines, or policy details (e.g., 'The bill passed with a 58-42 vote.') for easier machine extraction.
Pro Tips & Insights
01
AEO for News is the 'Real-Time Authority' play. Even if users don't click through, AI citing your publication as the source for breaking news builds immense credibility and brand recall.
02
Content structure is a critical ranking factor for news. Machine-readability via semantic markup and clear hierarchies is essential for AI to accurately index and surface breaking stories.
03
The 'Brand Moat' in news AEO is 'Exclusive Sourcing'. You want AI models to associate '[Your Publication Name]' with phrases like 'exclusive report on [Niche Event]'.
04
Declarative Facts dominate. AI models favor objective, verifiable reporting over opinion or speculative content. Shift from 'Narrative' to 'Factual Reporting'.
